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Christian Folberth
Senior Research Scholar
Agriculture, Forestry, and Ecosystem Services Research Group
Biodiversity and Natural Resources Program
Contact
Biography
Chris Folberth is a senior researcher in the Agriculture, Forestry, and Ecosystem Services Research Group of the IIASA Biodiversity and Natural Resources Program. The main focus of his research is process-based agro-ecosystem modeling to improve the understanding of the interactions between crop and soil management, climate impacts, and adaptation potentials. He also serves as the group’s liaison to community networks such as the Intersectoral Impact Model Intercomparison Project (ISIMIP) and the Global Gridded Crop Model Intercomparison (GGCMI) initiative.Besides process-based modeling, he leads initiatives on data-driven and hybrid modeling to harness the combined advantages of both process-based and machine-learning methods. He also engages in transdisciplinary research that aligns methods and tools with stakeholder needs.
Prior to joining IIASA in 2013, he was a research assistant at the Swiss Federal Institute of Aquatic Science and Technology (EAWAG) and the Federal Institute of Technology Zurich (ETH Zurich), where he also acquired a doctoral degree. In the years 2015-2016, he completed a research fellowship at Ludwig Maximilian University Munich, focusing on geographies of substance flows in the agro-food system.
Last update: 21 MAY 2024
Publications
Lim, C.-H., Choi, Y., Kim, M., Lee, S., Folberth, C. , & Lee, W.-K. (2018). Spatially Explicit Assessment of Agricultural Water Equilibrium in the Korean Peninsula. Sustainability 10 (1) p. 201. 10.3390/su10010201.
Balkovic, J. , Skalsky, R. , Folberth, C. , Khabarov, N. , Schmid, E., Madaras, M., Obersteiner, M. , & van der Velde, M. (2018). pan-EU EPIC crop calendar and fertilization data. 10.22022/ESM/02-2018.15104.
Porwollik, V., Müller, C., Elliott, J., Chryssanthacopoulos, J., Iizumi, T., Ray, D.K., Ruane, A.C., Arneth, A., Balkovic, J. , Ciais, P., Deryng, D., Folberth, C. , Izaurralde, R.C., Jones, C.D., Khabarov, N. , Lawrence, P.J., Liu, W., Pugh, T.A.M., Reddy, A., Sakurai, G., Schmid, E., Wang, X., de Wit, A., & Wu, X. (2017). Spatial and temporal uncertainty of crop yield aggregations. European Journal of Agronomy 88 10-21. 10.1016/j.eja.2016.08.006.
Frieler, K., Schauberger, B., Arneth, A., Balkovic, J. , Chryssanthacopoulos, J., Deryng, D., Elliott, J., Folberth, C. , Khabarov, N. , Müller, C., Olin, S., Pugh, T.A.M., Schaphoff, S., Schewe, J., Schmidt, E., Warszawski, L., & Levermann, A. (2017). Understanding the weather signal in national crop-yield variability. Earth's Future 5 (6) 605-616. 10.1002/2016EF000525.
Müller, C., Elliott, J., Chryssanthacopoulos, J., Arneth, A., Balkovic, J. , Ciais, P., Deryng, D., Folberth, C. , Glotter, M., Hoek, S., Iizumi, T., Izaurralde, R.C., Jones, C., Khabarov, N. , Lawrence, P., Liu, W., Olin, S., Pugh, T., Ray, D., Reddy, A., Rosenzweig, C., Ruane, A.C., Sakurai, G., Schmid, E., Skalsky, R. , Song, C.X., Wang, X., de Wit, A., & Yang, H. (2017). Global Gridded Crop Model evaluation: benchmarking, skills, deficiencies and implications. Geoscientific Model Development Discussions 10 1403-1422. 10.5194/gmd-2016-207.